Journal of Econometrics
1973 - 2025
Current editor(s): T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 194, issue 2, 2016
- Increased correlation among asset classes: Are volatility or jumps to blame, or both? pp. 205-219

- Yacine Ait-Sahalia and Dacheng Xiu
- Unified discrete-time and continuous-time models and statistical inferences for merged low-frequency and high-frequency financial data pp. 220-230

- Donggyu Kim and Yazhen Wang
- Copula structured M4 processes with application to high-frequency financial data pp. 231-241

- Zhengjun Zhang and Bin Zhu
- Between data cleaning and inference: Pre-averaging and robust estimators of the efficient price pp. 242-262

- Per A. Mykland and Lan Zhang
- Convolutional autoregressive models for functional time series pp. 263-282

- Xialu Liu, Han Xiao and Rong Chen
- Testing super-diagonal structure in high dimensional covariance matrices pp. 283-297

- Jing He and Song Chen
- Robust inference of risks of large portfolios pp. 298-308

- Jianqing Fan, Fang Han, Han Liu and Byron Vickers
- Semiparametric dynamic portfolio choice with multiple conditioning variables pp. 309-318

- Jia Chen, Degui Li, Oliver Linton and Zudi Lu
- Asymptotics for parametric GARCH-in-Mean models pp. 319-329

- Christian Conrad and Enno Mammen
- Tail dependence measure for examining financial extreme co-movements pp. 330-348

- Alexandru V. Asimit, Russell Gerrard, Yanxi Hou and Liang Peng
- Local-momentum autoregression and the modeling of interest rate term structure pp. 349-359

- Jin-Chuan Duan
- On consistency of minimum description length model selection for piecewise autoregressions pp. 360-368

- Richard A. Davis, Stacey A. Hancock and Yi-Ching Yao
- Generalized Yule–Walker estimation for spatio-temporal models with unknown diagonal coefficients pp. 369-382

- Baojun Dou, Maria Lucia Parrella and Qiwei Yao
Volume 194, issue 1, 2016
- Modeling covariance breakdowns in multivariate GARCH pp. 1-23

- Xin Jin and John Maheu
- Multiscale adaptive inference on conditional moment inequalities pp. 24-43

- Timothy Armstrong and Hock Peng Chan
- Local composite quantile regression smoothing for Harris recurrent Markov processes pp. 44-56

- Degui Li and Runze Li
- Identification of panel data models with endogenous censoring pp. 57-75

- Shakeeb Khan, Maria Ponomareva and Elie Tamer
- White noise testing and model diagnostic checking for functional time series pp. 76-95

- Xianyang Zhang
- A simple test for moment inequality models with an application to English auctions pp. 96-115

- Andres Aradillas-Lopez, Amit Gandhi and Daniel Quint
- Estimating dynamic equilibrium models using mixed frequency macro and financial data pp. 116-137

- Bent Jesper Christensen, Olaf Posch and Michel van der Wel
- The large-sample distribution of the maximum Sharpe ratio with and without short sales pp. 138-152

- Ross Maller, Steven Roberts and Rabee Tourky
- A nonparametric test of a strong leverage hypothesis pp. 153-186

- Oliver Linton, Yoon-Jae Whang and Yu-Min Yen
- Consistent model specification tests based on k-nearest-neighbor estimation method pp. 187-202

- Hongjun Li, Qi Li and Ruixuan Liu
Volume 193, issue 2, 2016
- Macroeconomics and the reality of mixed frequency data pp. 294-314

- Eric Ghysels
- A MIDAS approach to modeling first and second moment dynamics pp. 315-334

- Davide Pettenuzzo, Allan Timmermann and Rossen Valkanov
- Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs pp. 335-348

- Massimiliano Marcellino and Vasja Sivec
- High-dimensional copula-based distributions with mixed frequency data pp. 349-366

- Dong Hwan Oh and Andrew Patton
- On the use of high frequency measures of volatility in MIDAS regressions pp. 367-389

- Elena Andreou
- The estimation of continuous time models with mixed frequency data pp. 390-404

- Marcus Chambers
- Weighted maximum likelihood for dynamic factor analysis and forecasting with mixed frequency data pp. 405-417

- Francisco Blasques, Siem Jan Koopman, M. Mallee and Zhaoyong Zhang
- Testing for Granger causality in large mixed-frequency VARs pp. 418-432

- Thomas Götz, Alain Hecq and Stephan Smeekes
- A computationally efficient method for vector autoregression with mixed frequency data pp. 433-437

- Hang Qian
- Extended Yule–Walker identification of VARMA models with single- or mixed-frequency data pp. 438-446

- Peter Zadrozny
Volume 193, issue 1, 2016
- Kernel estimation of hazard functions when observations have dependent and common covariates pp. 1-16

- James Lewis Wolter
- Inference theory for volatility functional dependencies pp. 17-34

- Jia Li, Viktor Todorov and George Tauchen
- Double asymptotics for explosive continuous time models pp. 35-53

- Xiaohu Wang and Jun Yu
- Statistical inference in a random coefficient panel model pp. 54-75

- Lajos Horvath and Lorenzo Trapani
- Multivariate and multiple permutation tests pp. 76-91

- EunYi Chung and Joseph P. Romano
- Smoothed quantile regression for panel data pp. 92-112

- Antonio Galvao and Kengo Kato
- A discontinuity test for identification in triangular nonseparable models pp. 113-122

- Carolina Caetano, Christoph Rothe and Neşe Yıldız
- Fixed-smoothing asymptotics in the generalized empirical likelihood estimation framework pp. 123-146

- Xianyang Zhang
- S-values: Conventional context-minimal measures of the sturdiness of regression coefficients pp. 147-161

- Edward Leamer
- Informational content of special regressors in heteroskedastic binary response models pp. 162-182

- Songnian Chen, Shakeeb Khan and Xun Tang
- Testing for monotonicity in unobservables under unconfoundedness pp. 183-202

- Stefan Hoderlein, Liangjun Su, Halbert White and Thomas Tao Yang
- A bias-corrected estimator of the covariation matrix of multiple security prices when both microstructure effects and sampling durations are persistent and endogenous pp. 203-214

- Shin Ikeda
- Goodness-of-fit test for specification of semiparametric copula dependence models pp. 215-233

- Shulin Zhang, Ostap Okhrin, Qian M. Zhou and Peter X.-K. Song
- Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave pp. 234-250

- Liana Jacobi, Helga Wagner and Sylvia Frühwirth-Schnatter
- The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series pp. 251-270

- Heejoon Han, Oliver Linton, Tatsushi Oka and Yoon-Jae Whang
- Model averaging in semiparametric estimation of treatment effects pp. 271-289

- Toru Kitagawa and Chris Muris
Volume 192, issue 2, 2016
- Structural analysis with Multivariate Autoregressive Index models pp. 332-348

- Andrea Carriero, George Kapetanios and Massimiliano Marcellino
- A multi-country approach to forecasting output growth using PMIs pp. 349-365

- Alexander Chudik, Valerie Grossman and Mohammad Pesaran
- The structure of multivariate AR and ARMA systems: Regular and singular systems; the single and the mixed frequency case pp. 366-373

- Brian D.O. Anderson, Manfred Deistler, Elisabeth Felsenstein and Lukas Koelbl
- Large Bayesian VARMAs pp. 374-390

- Joshua Chan, Eric Eisenstat and Gary Koop
- Dynamic prediction pools: An investigation of financial frictions and forecasting performance pp. 391-405

- Marco Del Negro, Raiden B. Hasegawa and Frank Schorfheide
- Striated Metropolis–Hastings sampler for high-dimensional models pp. 406-420

- Daniel Waggoner, Hongwei Wu and Tao Zha
- Joint confidence sets for structural impulse responses pp. 421-432

- Atsushi Inoue and Lutz Kilian
- Robust econometric inference with mixed integrated and mildly explosive regressors pp. 433-450

- Peter Phillips and Ji Hyung Lee
- Tests of the co-integration rank in VAR models in the presence of a possible break in trend at an unknown point pp. 451-467

- David Harris, Stephen Leybourne and Robert Taylor
- Vector autoregressive moving average identification for macroeconomic modeling: A new methodology pp. 468-484

- Donald Poskitt
- Gaussian mixture vector autoregression pp. 485-498

- Leena Kalliovirta, Mika Meitz and Pentti Saikkonen
- TENET: Tail-Event driven NETwork risk pp. 499-513

- Wolfgang Karl Härdle, Weining Wang and Lining Yu
Volume 192, issue 1, 2016
- Exploiting the errors: A simple approach for improved volatility forecasting pp. 1-18

- Tim Bollerslev, Andrew Patton and Rogier Quaedvlieg
- Bayesian semiparametric modeling of realized covariance matrices pp. 19-39

- Xin Jin and John Maheu
- Efficiency of thin and thick markets pp. 40-54

- Li Gan and Qi Li
- Root-T consistent density estimation in GARCH models pp. 55-63

- Aurore Delaigle, Alexander Meister and Jeroen Rombouts
- Inference on co-integration parameters in heteroskedastic vector autoregressions pp. 64-85

- H. Peter Boswijk, Giuseppe Cavaliere, Anders Rahbek and Robert Taylor
- Asymptotic refinements of a misspecification-robust bootstrap for GEL estimators pp. 86-104

- Seojeong Lee
- Predictive quantile regression with persistent covariates: IVX-QR approach pp. 105-118

- Ji Hyung Lee
- Bandwidth selection and asymptotic properties of local nonparametric estimators in possibly nonstationary continuous-time models pp. 119-138

- Yacine Ait-Sahalia and Joon Y. Park
- Model averaging based on leave-subject-out cross-validation pp. 139-151

- Yan Gao, Xinyu Zhang, Shouyang Wang and Guohua Zou
- Nonstationarity in time series of state densities pp. 152-167

- Yoosoon Chang, Chang Sik Kim and Joon Y. Park
- A reexamination of stock return predictability pp. 168-189

- Yongok Choi, Stefan Jacewitz and Joon Y. Park
- Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem pp. 190-206

- Christian Aßmann, Jens Boysen-Hogrefe and Markus Pape
- Testing for Granger causality with mixed frequency data pp. 207-230

- Eric Ghysels, Jonathan B. Hill and Kaiji Motegi
- Bootstrap inference for instrumental variable models with many weak instruments pp. 231-268

- Wenjie Wang and Maximilien Kaffo
- A dual approach to inference for partially identified econometric models pp. 269-290

- Hiroaki Kaido
- Individual and time effects in nonlinear panel models with large N, T pp. 291-312

- Ivan Fernandez-Val and Martin Weidner
- The effects of asymmetric volatility and jumps on the pricing of VIX derivatives pp. 313-328

- Yang-Ho Park
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